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Update README.md

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@@ -49,6 +49,11 @@ path = 'pedramyazdipoor/persian_xlm_roberta_large'
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  tokenizer = AutoTokenizer.from_pretrained(path)
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  model = AutoModelForQuestionAnswering.from_pretrained(path)
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  ```
 
 
 
 
 
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  ```python
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  def generate_indexes(start_logits, end_logits, N, min_index_list):
 
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  tokenizer = AutoTokenizer.from_pretrained(path)
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  model = AutoModelForQuestionAnswering.from_pretrained(path)
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  ```
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+ ## Inference
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+ There are some considerations for inference:
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+ 1) Start index of answer must be smaller than end index.
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+ 2) The span of answer must be within the context.
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+ 3) The selected span must be the most probable choice among N pairs of candidates.
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  ```python
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  def generate_indexes(start_logits, end_logits, N, min_index_list):